A new and reliable intelligent model for deployment of sensor nodes for IoT applications
dc.authorid | Dash, Ranjan Kumar/0000-0003-3482-465X | |
dc.authorid | Cengiz, Korhan/0000-0001-6594-8861 | |
dc.authorid | Alnazzaawi, Noha/0000-0003-3265-0297 | |
dc.authorid | Alshehri, Yasser/0000-0003-1134-4514 | |
dc.authorwosid | Dash, Ranjan Kumar/ABA-8593-2020 | |
dc.authorwosid | Cengiz, Korhan/HTN-8060-2023 | |
dc.authorwosid | Alnazzaawi, Noha/ABG-9130-2021 | |
dc.authorwosid | Alshehri, Yasser/AAE-5918-2021 | |
dc.contributor.author | Dash, Ranjan Kumar | |
dc.contributor.author | Cengiz, Korhan | |
dc.contributor.author | Alshehri, Yasser Ali | |
dc.contributor.author | Alnazzawi, Noha | |
dc.date.accessioned | 2024-06-12T11:03:56Z | |
dc.date.available | 2024-06-12T11:03:56Z | |
dc.date.issued | 2022 | |
dc.department | Trakya Üniversitesi | en_US |
dc.description.abstract | To ensure reliable Internet of Things (IoT) applications, this study provides a new intelligent deployment technique for sensor nodes. The proposed intelligent deployment technique places sensor nodes in appropriate locations to achieve high levels of connectivity and, as a result, boost the WSN's overall reliability. To generate optimal sensor node coordinate positions, a modified version of the Expectation-Maximization method is utilized as a machine learning technique. Following that, each node's neighbours are determined, and links between them are built using the K-Nearest neighbour algorithm. Then, to assess the reliability of WSN, a novel algorithm is proposed. The proposed algorithms are all well-illustrated with appropriate examples. When the algorithms provided in this research are compared to certain existing methods in terms of node positioning accuracy (10%), network connectivity (10%), and estimated dependability values (5%), it is clear that the suggested strategy outperforms them in every way. | en_US |
dc.identifier.doi | 10.1016/j.compeleceng.2022.107959 | |
dc.identifier.issn | 0045-7906 | |
dc.identifier.issn | 1879-0755 | |
dc.identifier.scopus | 2-s2.0-85129312463 | en_US |
dc.identifier.scopusquality | Q1 | en_US |
dc.identifier.uri | https://doi.org/10.1016/j.compeleceng.2022.107959 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14551/21846 | |
dc.identifier.volume | 101 | en_US |
dc.identifier.wos | WOS:000797942900004 | en_US |
dc.identifier.wosquality | Q2 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Pergamon-Elsevier Science Ltd | en_US |
dc.relation.ispartof | Computers & Electrical Engineering | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Internet Of Things | en_US |
dc.subject | Wireless Sensor Network | en_US |
dc.subject | Reliability | en_US |
dc.subject | Connectivity And Coverage | en_US |
dc.subject | Optimal Node Placement | en_US |
dc.subject | Machine Earning | en_US |
dc.subject | Expectation-Maximization Method | en_US |
dc.subject | Intelligent Deployment | en_US |
dc.subject | Reliability | en_US |
dc.subject | Networks | en_US |
dc.title | A new and reliable intelligent model for deployment of sensor nodes for IoT applications | en_US |
dc.type | Article | en_US |